\section{Database}


\subsection{Geographical distances}

\begin{table}[htbp]
\centering
\begin{tabular}{lrr}
\hline
Vector Similarity  & $\rho$ & $r^2$ \\
\hline
matching  & 0.068 & 0.056 \\
yule  & 0.116 & 0.075 \\
dice  & 0.151 & 0.15 \\
jaccard  & 0.151 & 0.151 \\
seuclidean  & 0.068 & 0.056 \\
braycurtis  & 0.151 & 0.15 \\
tanimoto  & 0.07 & 0.06 \\
euclidean  & 0.068 & 0.062 \\
russellrao  & 0.122 & 0.087 \\
cosine  & 0.155 & 0.154 \\
sokalsneath  & 0.151 & 0.149 \\
hamming  & 0.068 & 0.056 \\
correlation  & 0.157 & 0.156 \\
nseuclidean  & 0.154 & 0.153 \\
manhattan  & 0.068 & 0.056 \\
\hline
\end{tabular}
\label{}
\caption{Wals distance correlations with geographic distances}
\end{table}
\subsection{Internal classification}
\begin{figure}[htb]
\centering
\includegraphics[width=0.8\textwidth, height=0.5\textwidth]{WALS-point-biserial-correlation_1.png}
\caption{}
\label{fig:fig1} %
% \end{center}
\end{figure} %
\subsection{Lexical similarity}

\begin{figure}[htb]
\centering
% \epsfig{WALS-ASJP-Rank-correlation_2, height = 0.5\textwidth, width=0.8\textwidth}
\includegraphics[width=0.8\textwidth, height=0.5\textwidth]{WALS-ASJP-Rank-correlation_2.png}
\caption{}
\label{fig:fig1} %
% \end{center}
\end{figure} %